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Stop OOM crashes in vLLM, SGLang, Unsloth, and HuggingFace. Proactive memory estimation and runtime KV-cache monitoring for LLM inference serving and fine-tuning on Apple Silicon, CUDA, and CPU.
pip install ml-memguard
PyPI declares 23 unique dependency rules for this release. Environment markers are shown when supplied by the project.
This release declares no required runtime dependencies in its PyPI metadata.
ml-memguard publishes 1 wheel and 1 source archive for version 0.5.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.9.
PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .